Industrial ware intersystem communication devices of networks, systems, complexes and electronic com
The Mobile Laboratory Model environment is wireless. The MLM center point comprises one or more wireless nodes that will facilitate connection to the other mobile components of the MLM. The nodes may have one of three of the following roles in the MLM:. A node can operate as a simple connecting or broadcasting node to link the other mobile components;.VIDEO ON THE TOPIC: Communication Protocols for Industrial Automation
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Multicloud and the Impacts on Technology Incumbent Elites
Dokument wird geladen. Optimal use and networking of sensors. Processing and analyzing the resulting data streams according to the task at hand, leading to decision support systems for humans or intelligent control mechanisms for autonomous systems. This comprehensive process and exploitation chain, which comprises and combines the core competences Optronics, System Technologies and Image Exploitation, is our domain at Fraunhofer IOSB. Our expertise comes to use in areas as diverse as automation, inspection or security.
Like the Fraunhofer-Gesellschaft as a whole, we are committed to application-oriented research for the benefit of society and economy. We shape the future. Scientific and technological excellence are just as much a part of our DNA as customer orientation and reliability towards our clients from industry and public authorities.
As an established Fraunhofer institute, we strive for excellence in research, for substantial technological advance in our fields of competence and for maximum satisfaction on behalf of our customers in economy and administration. In order to reach these goals, we need to procure the necessary resources, generate industry orders and find the right partners. If, however, following this agenda, our staff and budget numbers rise, this is not unwelcome: it is an indicator that we are successful, that we are doing things right.
Therefore, I am pleased to announce that our budget and personnel have been growing continuously for years now, reaching 52 million Euros and regular staff, respectively, in Still, looking at specific topics and developments remains much more exciting than overall numbers. Optronics, System Technologies and Image Exploitation remain our identity-defining core competences. This combination makes us a sought-after partner all along a comprehensive process chain — from devising, characterizing and networking sensors over processing, analyzing and making sense of the resulting data streams to creating intelligent autonomous control mechanisms and decision support systems, including innovative human-machine interaction concepts.
A multitude of diverse and fascinating projects arises from this unique competence profile, as you will see in our business units section, starting on page 28 — albeit we had to limit ourselves to a small selection of the actual ongoing projects. At the same date, he has taken office as head of division at our site in Ettlingen.
Reinhard Ebert. He worked for us with great commitment until long after the regular age of retirement. We are very grateful for his ongoing dedication, now as an external advisor to the Institute. We expect to appoint an appropriate candidate in the second half of Without the reliable support and cooperation of the federal ministries of Education and Research BMBF and of Defense BMVg we would not be able to carry out our activities and fulfil our mission.
Our gratitude also extends to the employees of IOSB and their excellent work. The primary task is to study the ocean floor. In addition, price-worthy photographs of both a specified object and other archaeological, biological or geological features must be taken. Importantly, the technology used must be essentially autonomous: no human operators are permitted on or below the ocean surface while the measurements are being performed. Finally, all the equipment required for the competition must fit into a standard shipping container.
In December , we proved that our solutions meet the criteria necessary to advance to the final round. As one of the nine finalists, we hope our fleet of extremely cost-efficient submersibles and inflatable, unmanned support boats will continue to perform well and that we will be one of the top three teams in the world.
This was a great motivation — for a difficult challenge. In just ten months, we had to develop a completely new concept for previously unsolved problems. We had to build a team, select, order and assemble components and sensors, program software and test every- thing. All these processes were governed by a framework of public procurement rules. We had our team trained in SCRUM techniques for agile development and adapted the method for hardware-intensive projects which encompass a wide range of different technologies.
Fraunhofer is gaining important experience in dealing with challenges of this nature, which we are likely to encounter more often in future. We will document our agile development methods and make them available for other teams conducting research under time pressure. We also want to found a spin-off company. Our technology has many beneficial applications — from monitoring deep-sea cables to finding wrecks and archaeological treasures or exploring the seabed for immense reserves of natural resources and using them responsibly.
The technology was licensed by Kraken Sonar, Inc. For strategic reasons, the program was abandoned. All documents and parts were destroyed.
Today, interest in reconstructing details of the historic project is huge, leading to remarkable efforts to find eight true-to-scale models that had been used in flying tests over Lake Ontario. The media response was tremendous: the New York Times and many other renowned media outlets reported. In order to tackle this, Fraunhofer IOSB in started the self-funded project MODEAS with the idea of creating an integrated system for the detection, localization, classification and tracking of small unmanned aerial vehicles based on a network of linked multi-sensor stations.
By now, an experimental prototype exists and has attracted much attention in several demon- strations for potential customers. The open system architecture allows additional sensors or sensor systems to be integrated as required.
Moreover, it can be used to control optional defensive systems actuators. The rapid technological development of small unmanned aerial vehicles creates new hazards and potential for abuse: drones can spy on people and property or be used to transport items over conventional perimeter fences, e. If fitted with explosives or toxins, they can also cause significant damage. Protection against drone attacks of this type requires reliable detection at the earliest possible time — ideally before the drone takes off — in order to initiate appropriate countermeasures.
One of the major challenges for drone warning systems is the avoidance of false alarms, e. To overcome these challenges, MODEAS uses signals from a variety of sensors optical, acoustic and radio and an object database which can be updated online. This stores signatures and other relevant properties of a variety of known drone models. MODEAS also makes this reference data available to decision-makers in order to achieve rapid response times using a semi-automated decision support assistant.
Detection of radio communication signals can be achieved over even greater distances. When an alarm is triggered by one of the sensor systems, it is validated by imme- diately comparing it with data from the other MODEAS sensors and the object database. This prevents false alarms and ensures MODEAS offers a high level of reliability in addition to excel- lent locating performance.
Linking stations allows the system to cover the entire perimeter of a property and process several aerial vehicles simultaneously. Contact: Dr.
They are developing hardware and software alike. The project focuses on processes and algorithms as well as sensor components and even complete integrated systems. The concept aims at a flexible, extendible and scalable network of sensor stations with individual multi- sensor configurations that can be tailored to meet their specific requirements. Furthermore, it has the capability to identify several unmanned aerial vehicles simultaneously.
The available sensors ensure reliable detection and accurate localization. The system also uses radio detection modules to capture communication between the UAVs and their ground station and issue an early warning regarding the potential presence of drones in the air space. Depending on the drone model, it may be possible to tap the usable data stream downlink or even take over the pilot controls. The open system architecture permits the integration of additional sensors specific to the task, such as radar, IR and hyperspectral cameras.
On a higher level, MODEAS supports the user in evaluating threats and selecting possible responses not just through its database of the known capabilities of the detected aerial vehicle but also through situation-dependent risk analysis including assessment of the hazards which could arise through the use of available defensive measures.
Literature  Tchouchenkov, I. In addition to more familiar types of attack, the spotlight is now falling onto large scale attacks on critical infrastructures and industrial complexes. IT security and cybersecurity are thus a key, cross-sectional technology for ensuring that moder n society and industry continue to function. Professionally trained IT security specialists are a rare commodity in Germany.
So as not to fall behind in the arms race with cyber criminals, IT teams and managers must constantly hone their skills and improve their expertise in order to stay at least one step ahead. Several Fraunhofer Institutes and universities of applied sciences are now offering a modular, part-time study program to make the results of the latest research available to professionals working in this area.
Short-format events in the Cybersecurity Training Lab allow participants to gain qualifications through in-service study and combine cybersecurity modules flexibly for a variety of professional roles. These compact courses for IT teams and managers from the industrial and public sectors take place in a high quality laboratory with state-of-the-art IT infrastructure. Here, they face simulations of real threat scenarios, learn to recognize their significance and consequences and study the application and effectiveness of appropriate solution concepts in practice.
It considers vulnerabilities in planning and operations, especially risk assessment and strategies for measures aimed at preventing cyber attacks. The training course is designed for planners and operators of utility networks as well as manufacturers of components and solutions.
The emphasis here is on network planning and management. Likewise, cybersecurity training events take place at both sites. The training course is designed for planners and operators of automation systems as well as developers of automation solutions.
On the user side, target groups include all sectors of manufacturing industry and manufacturers of automation solutions. Current training modules and dates are available at www. It is being lead by Prof. Machine learning allows for far-reaching and unknown insights into complex systems that can no longer be grasped by human expertise.
Methods of machine learning are increasingly establishing themselves in a wide variety of appli- cation domains and developing their disruptive potential there. In almost every area of society, the amount of available data is increasing at an explosive rate. So-called cyber-physical systems such as mobile devices, autonomous vehicles, intelligent sensor systems and even home automation systems generate a flood of data that has so far only been used to a limited extent.
These data form the perfect basis for the use of machine learning methods. In the wake of the High-Tech Strategy Industrie 4. With production processes increasingly being equipped with sensors and actuators, huge amounts of process data are collected, making it possible to gain deep insights into the sometimes very complex physical and technical interrelationships.
Contact: Dipl. However, for a targeted optimization of processes, e. Then, with the help of data, unknown interrelationships can be learned, processes can be modeled and adaptive mechanisms can be implemented in order to make production plants flexible and quickly adaptable. In contrast to those application domains of machine learning in which huge amounts of data are available Internet, social media, etc.
For consistent plant optimization, both must be taken into account: all available data and the entire expert knowledge. In an industrial context, therefore, not only the trend topic of deep learning is interesting, but also a wide variety of other special machine learning methods that can also handle less data while simultaneously making use of previous knowledge.
Systematic procedure for industrial applications Currently, there is still an enormous gap between the algorithms of machine learning and their successful application in manufacturing and production processes.
Multicloud and the Impacts on Technology Incumbent Elites
This book presents innovative and interdisciplinary applications of advanced technologies. This unique book offers a comprehensive, multidisciplinary and interdisciplinary overview of the latest developments in a broad section of technologies and methodologies, viewed through the prism of applications in computing, networking, information technology, robotics, complex systems, communications, energy, mechanical engineering, economics and medicine, to name just a few. Skip to main content Skip to table of contents. Advertisement Hide.
IEEE standard Defines a mechanism that allows a supplicant client to connect to a wireless access point or wired switch so that the supplicant can provide authentication credentials that can be verified by an authentication server. The process of recording and aggregating resource use statistics and log files for a user, connection session, or function for billing, system diagnosis, and usage planning. SNMP module on a managed device that responds to requests from a management station and sends traps to one or more recipients trap sinks to inform administrators of potential problems.
Table of Content
Middleware is the software that connects software components or enterprise applications. Middleware is the software layer that lies between the operating system and the applications on each side of a distributed computer network Figure Typically, it supports complex, distributed business software applications. Middleware is the infrastructure which facilitates creation of business applications, and provides core services like concurrency, transactions, threading, messaging, and the SCA framework for service-oriented architecture SOA applications. It also provides security and enables high availability functionality to your enterprise. Middleware includes Web servers, application servers, content management systems, and similar tools that support application development and delivery. Figure Middleware Architecture. Due to continued growth and use of network-based applications by businesses, middleware technologies are increasingly important.
Advanced Technologies, Systems, and Applications II
AWS offers over fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence AI, IoT, mobile, security, hybrid, VR and AR, media, and application development, deployment, and management from 60 Availability Zones within 20 geographic regions. Millions of customers including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. Our enterprise-grade platform uses software bots that work side by side with people to do much of the repetitive work in many industries. It combines sophisticated RPA, cognitive and embedded analytic technologies. More than 2, customer entities and 1, enterprise brands use this AI-enabled solution to manage and scale business processes faster, with near-zero error rates, while dramatically reducing operational costs.
This frame type is used to transmit user data between controlling and controlled station. This is accomplished by that committee validating that the standard tests are applied in a consistent, transparent and fair manner, and thereby conforming products meet the goals of the. IEC appears to provide the solutions to effect change. The Multilin Motor Protection System is a protection device designed for the management, protection and control of medium to large horsepower motors.
Reader comments are listed below. Comments are currently closed and new comments are no longer being accepted. The Internet of Things, or the Industrial Internet as one major player prefers to call it, is indeed over-hyped in many ways. Those of us of a certain age may recall the late s and s, when there were multiple competing network islands.
The cloud is entering a third stage of evolution. With it comes new challenges and opportunities for both users and vendors. What are they? To best understand them, a quick scan of the evolution of cloud can set context. The first phase of cloud evolution combined advanced virtualization technologies, new classes of high-speed campus networking, and automation technologies capable of presenting complex machine product stacks as self-service offerings.
Mobile Laboratory Model for Next-Generation Heterogeneous Wireless Systems
Dokument wird geladen. Optimal use and networking of sensors. Processing and analyzing the resulting data streams according to the task at hand, leading to decision support systems for humans or intelligent control mechanisms for autonomous systems. This comprehensive process and exploitation chain, which comprises and combines the core competences Optronics, System Technologies and Image Exploitation, is our domain at Fraunhofer IOSB. Our expertise comes to use in areas as diverse as automation, inspection or security. Like the Fraunhofer-Gesellschaft as a whole, we are committed to application-oriented research for the benefit of society and economy. We shape the future. Scientific and technological excellence are just as much a part of our DNA as customer orientation and reliability towards our clients from industry and public authorities.
NCBI Bookshelf. No one engaged in any part of health care delivery or planning today can fail to sense the immense changes on the horizon, even if the silhouettes of those changes, let alone the details, are in dispute. The needs are quite broad: health care reform; evaluation of clinical care and health care delivery; administration of health plans, groups, and facilities; and public health planning. Policymakers, researchers, health professionals, purchasers, patients, and others continue to be frustrated in their attempts to acquire health information.
The growing number of heterogeneous devices which can be used to access a variety of physical networks, contents, services, and information provided by a broad range of network, application and service providers has clearly created the conditions required for an increasing number of users to be always in touch with what is going on in the world, both for personal and work-related purposes. Driven by mobility, more and more services are consumed on the move. Therefore mobility is to be provided, and a certain Quality of Experience QoE and security are expected. Unfortunately, the complexity of the problem, as well as the lack of standardised interfaces and protocols, makes it difficult to easily and seamlessly support such features at the application layer.
- Хорошо, теперь давайте. Дверь снова приоткрылась на дюйм. В Третьем узле виднелось голубоватое сияние: терминалы по-прежнему работали; они обеспечивали функционирование ТРАНСТЕКСТА, поэтому на них поступало аварийное питание.
Это было одной из ее многочисленных хитростей: мужчинам казалось, что она сгорает от страсти, поэтому они стремились прийти к ней снова и .
- Господи Иисусе. - Ищите. - Над ними склонился Фонтейн. - Посмотрим, что у них. Соши начала просматривать документ.
Понятия не имею. Я уже говорила, что мы ушли до их прибытия. - Вы хотите сказать - после того как стащили кольцо. - Мы его не украли, - искренне удивилась Росио. - Человек умирал, и у него было одно желание. Мы просто исполнили его последнюю волю. Беккер смягчился.
Фонтейну нужен был кто-то способный наблюдать за Стратмором, следить, чтобы он не потерял почву под ногами и оставался абсолютно надежным, но это было не так-то. Стратмор - человек гордый и властный, наблюдение за ним следует организовать так, чтобы никоим образом не подорвать его авторитета. Из уважения к Стратмору Фонтейн решил заняться этим лично. Он распорядился установить жучок в личном компьютере Стратмора - чтобы контролировать его электронную почту, его внутриведомственную переписку, а также мозговые штурмы, которые тот время от времени предпринимал.